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                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
                <th scope="col">(5)</th>
                <th scope="col">(6)</th>
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        <tfoot><tr><td colspan='7'></td></tr>
<tr><td colspan='7'>The outcome variable is XX. Estimates are based on XX. Columns differ with respect to XX. All estimations include the following set of control variables: age, binary for being married, number of children in household, binary for no educational degree, personal income, years of work experience, satisfaction with household income. Robust standard errors in parenthesis. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001.</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>ATT       </td>
                  <td>−0.025         </td>
                  <td>0.010           </td>
                  <td>0.013           </td>
                  <td>−0.011         </td>
                  <td>0.047             </td>
                  <td>0.093*             </td>
                </tr>
                <tr>
                  <td>          </td>
                  <td>(0.026)        </td>
                  <td>(0.037)         </td>
                  <td>(0.024)         </td>
                  <td>(0.021)        </td>
                  <td>(0.042)           </td>
                  <td>(0.040)            </td>
                </tr>
                <tr>
                  <td>intercept </td>
                  <td>0.920***       </td>
                  <td>0.860***        </td>
                  <td>0.806***        </td>
                  <td>0.869***       </td>
                  <td>0.741***          </td>
                  <td>0.770***           </td>
                </tr>
                <tr>
                  <td>          </td>
                  <td>(0.018)        </td>
                  <td>(0.024)         </td>
                  <td>(0.015)         </td>
                  <td>(0.014)        </td>
                  <td>(0.026)           </td>
                  <td>(0.026)            </td>
                </tr>
                <tr>
                  <td>N         </td>
                  <td>1485           </td>
                  <td>934             </td>
                  <td>2490            </td>
                  <td>2227           </td>
                  <td>1197              </td>
                  <td>970                </td>
                </tr>
                <tr>
                  <td>adj. R2   </td>
                  <td>0.01           </td>
                  <td>0.00            </td>
                  <td>0.01            </td>
                  <td>0.01           </td>
                  <td>0.00              </td>
                  <td>0.01               </td>
                </tr>
                <tr>
                  <td>BIC       </td>
                  <td>942            </td>
                  <td>932             </td>
                  <td>2610            </td>
                  <td>1882           </td>
                  <td>1522              </td>
                  <td>1130               </td>
                </tr>
                <tr>
                  <td>Log.Lik.  </td>
                  <td>−453           </td>
                  <td>−449            </td>
                  <td>−1286           </td>
                  <td>−922           </td>
                  <td>−743              </td>
                  <td>−548               </td>
                </tr>
                <tr>
                  <td>p-value   </td>
                  <td>0.3617         </td>
                  <td>0.9431          </td>
                  <td>0.9672          </td>
                  <td>0.5576         </td>
                  <td>0.6073            </td>
                  <td>0.2383             </td>
                </tr>
                <tr>
                  <td>sub-sample</td>
                  <td>age_olderthan47</td>
                  <td>nchild_lessthan2</td>
                  <td>nchild_morethan1</td>
                  <td>married_married</td>
                  <td>married_notmarried</td>
                  <td>income2_lessthan850</td>
                </tr>
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